Micro Computer (HK) Tech Limited MS-S1 MAX
Geekbench AI Score
6333
Single Precision Score
2397
Half Precision Score
11063
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Schopenhauer |
| Upload Date | December 08 2025 08:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-S1 MAX |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd SHWSA |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5478
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (Q)
|
99% |
11181
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15751
256.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15186
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11817
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
49830
58.4 IPS |
|
|
Object Detection (SP)
|
100% |
4844
384.2 IPS |
|
|
Object Detection (HP)
|
100% |
918
72.9 IPS |
|
|
Object Detection (Q)
|
86% |
13135
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
11867
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
13922
166.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16276
125.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3068
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11688
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31785
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26536
34.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50930
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3895
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3468
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4065
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1666
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4247
85.3 IPS |
